Triple

T12925086
Position Surface form Disambiguated ID Type / Status
Subject Lieutenant Junior Grade E309222 entity
Predicate typicalTimeInGrade P107047 FINISHED
Object approximately two years LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: approximately two years | Statement: [Lieutenant Junior Grade, typicalTimeInGrade, approximately two years]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: typicalTimeInGrade
Context triple: [Lieutenant Junior Grade, typicalTimeInGrade, approximately two years]
  • A. typicalGradeLevel
    Indicates the usual or most common educational grade level at which something (such as a concept, resource, or skill) is intended to be taught or is typically encountered.
  • B. typicalAgeAtCompletion
    Indicates the age at which an entity (such as a program, activity, or process) is typically completed.
  • C. typicalLeavingAge
    Indicates the age at which entities (such as people or groups) usually or most commonly leave a given context, place, or situation.
  • D. schoolPhase
    Indicates the specific stage or level within an educational system at which the related entity operates or applies.
  • E. typicalStudentProgressionTo
    Indicates the usual or expected sequence by which a student advances from one educational stage, status, or program to the next.
  • F. None of above. chosen

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971eb17c88190bf523da897172a0c completed April 10, 2026, 9:55 p.m.
PD Predicate disambiguation batch_69d96fab4d0881909a7a4d66bab9aa85 completed April 10, 2026, 9:46 p.m.
PDg Predicate description generation batch_69d970f6f5748190ad35aff801db53d5 completed April 10, 2026, 9:51 p.m.
Created at: April 9, 2026, 5:42 p.m.